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Unveiling the Power of Neural Networks

Explore the history, functioning, and real-life applications of neural networks inspired by interconnected neurons, like handwriting recognition and solving hard tasks. Discover its evolution from threshold logic to cutting-edge recurrent networks.

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Unveiling the Power of Neural Networks

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Presentation Transcript

  1. Neural Networks Herbert Waage

  2. Structure • Basic information • History • Real-life applications

  3. Basic Information • inspired by animals • interconnected neurons • handwriting recognition • hard tasks

  4. History • 1943 – McCulloch and Pitts (threshold logic) • late 1940s – Donald Hebb (Hebbian learning) • 1954 – Farley and Clark (calculators) • 1958 – Rosenblatt (perceptron) • mid-1980s – connectionism • 1990s – support vector machines • 2009-2012 – Jürgen Schmidhuber (recurrent neural networks)

  5. Real-life applications • function approximation • classification • data processing • robotics • control

  6. Resources • http://en.wikipedia.org/wiki/Artificial_neural_network • http://www.quorrischarmyn.com/wp-content/uploads/2013/01/nod32robot.png

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